Kubernetes has transitioned from a versatile framework for container orchestration to the primary engine powering the global surge in artificial intelligence development. The Cloud Native Computing Foundation (CNCF) highlighted this evolution in a recent report, which examines the intersection of cloud-native infrastructure and machine learning. While the technical capabilities of the ecosystem have reached a point of high maturity, the research suggests that human and organisational factors now serve as the most significant barriers to successful deployment.
According to Rajat Taneja, Visa's president of technology, the global payments company has woven AI into every part of its business. Employees across Visa are tapping AI in their everyday workflows for tasks ranging from data analysis to software development. The company has built more than 100 internal AI-powered business applications tailored to specific use cases and has over 2,500 engineers working specifically on AI. Visa is also using AI to create new products and services for its customers, such as faster onboarding, simplified processes for managing disputes, and infrastructure for agentic AI technologies.